How to build a multi-agent system using Elasticsearch and LangGraph
Discover how to build a multi-agent LLM system using Elasticsearch and LangGraph, and implement the reflection pattern for self-correcting agents powered by hybrid search and ELSER embeddings.
Creating an LLM Agent newsroom with A2A protocol and MCP in Elasticsearch: Part I
Explore the concepts of A2A protocol and MCP within a practical newsroom example where specialized LLM agents collaborate to research, write, edit, and publish news articles.
Building a knowledge agent with semantic recall using Mastra and Elasticsearch
Learn how to build a knowledge agent with semantic recall using Mastra and Elasticsearch as a vector store for memory and information retrieval.
The impact of relevance in context engineering for AI agents
Discover how hybrid retrieval, semantic chunking, and agentic search improve LLM performance by managing context relevance efficiently.
Building agentic applications with Elasticsearch and Microsoft’s Agent Framework
Learn how to use Microsoft Agent Framework with Elasticsearch to build an agentic application that extracts ecommerce data from Elasticsearch client libraries using ES|QL.
Introducing Elastic Agent Builder
Introducing Elastic Agent Builder, a framework to easily build reliable, context-driven AI agents in Elasticsearch with your data.
Elastic MCP server: Expose Agent Builder tools to any AI agent
Discover how to use the built-in Elastic MCP server in Agent Builder to securely extend any AI agent with access to your private data and custom tools.
AI Agent evaluation: How Elastic tests agentic frameworks
Learn how we evaluate and test changes to an agentic system before releasing them to Elastic users to ensure accurate and verifiable results.
Creating an AI agent with n8n and MCP
Exploring how to build a trend analytics agent with n8n while leveraging the Elasticsearch MCP server.
Connecting Elastic Agents to Gemini Enterprise via A2A protocol
Learn how to use Agent Builder to expose your custom Elastic Agent to external services like Gemini Enterprise with the A2A protocol.
Experiments in improving Agentic AI tools for Elasticsearch
Learn how we improved AI agent workflows for Elasticsearch through iterative experiments by combining linear retrievers, hybrid search, and semantic_text for scalable RAG optimization.
CI/CD pipelines with agentic AI: How to create self-correcting monorepos
How our team introduced GenAI into CI pipelines to create self-correcting pull requests, automizing the update of hundreds of dependencies in large monorepos